const auto& shape = reader->GetVariableToShapeMap().at(name);
  int rank = shape.dims();
  if (num_dims != rank) {
    status->status = InvalidArgument("Expected rank is ", num_dims,
                                     " but actual rank is ", rank);
    return;
  }
  for (int i = 0; i < num_dims; i++) {
    dims[i] = shape.dim_size(i);
  }
}

test-versioning: install-race
	@echo "Running minio versioning tests"
	@env bash $(PWD)/docs/bucket/versioning/versioning-tests.sh

test-configfile: install-race
	@env bash $(PWD)/docs/distributed/distributed-from-config-file.sh

test-upgrade: install-race
	@echo "Running minio upgrade tests"
	@(env bash $(PWD)/buildscripts/minio-upgrade.sh)

test-race: verifiers build ## builds minio, runs linters, tests (race)

        ArtifactFilter resolutionFilter = request.getResolutionFilter();
        RepositorySystemSession session = getSession(request.getLocalRepository());

        // TODO: hack because metadata isn't generated in m2e correctly and i want to run the maven i have in the
        // workspace
        if (source == null) {
            try {

    assertThat(ping.payload2).isEqualTo(0)
    assertThat(ping.ack).isTrue()
  }

  @Test fun clientPingsServer() {
    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // PING
    peer.sendFrame().ping(true, Http2Connection.AWAIT_PING, 5)
    peer.play()

    // Play it back.
    val connection = connect(peer)

	// Repair
	registerBooleanParameter(constants.RepairEnabled, true, "Whether to enable race condition repair or not")
	registerBooleanParameter(constants.RepairDeletePods, false, "Controller will delete pods when detecting pod broken by race condition")
	registerBooleanParameter(constants.RepairLabelPods, false, "Controller will label pods when detecting pod broken by race condition")
	registerStringParameter(constants.RepairLabelKey, "cni.istio.io/uninitialized",

    for (int i = 0; i < noutputs; ++i) {
      output_names_vec.push_back(string(output_names[i]));
    }
  }

  // Process control output names.
  std::vector<string> control_output_names_vec;
  if (control_output_names) {
    control_output_names_vec.reserve(ncontrol_outputs);
    for (int i = 0; i < ncontrol_outputs; ++i) {
      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }

        // GradientTape which uses ones.
        Gradient* zero = input_tensors[target_index].ZerosLike();
        new_zeros.push_back(zero);
        in_grads.push_back(zero);
      } else {
        in_grads.push_back(nullptr);
      }
    } else {
      in_grads.push_back(current_grad->second);
    }
  }

  // Avoid infinite recursion. Whichever forward function we run, it'll end up

        assertEquals( Artifact.SCOPE_COMPILE, artifact.getScope(), "dependency artifact has wrong scope." );

        //check for back-propagation of default scope.
        assertEquals( Artifact.SCOPE_COMPILE, dep.getScope(), "default scope NOT back-propagated to dependency." );
        */
    }

    @Test
    @Disabled
    void testShouldUseInjectedTestScopeFromDependencyManagement() throws Exception {

  // introduce a very specific kind of data-race. And given the other operations performed by these
  // methods that involve volatile read/write operations, in practice there is no issue. Also, the
  // way in such a visibility issue would surface is most likely as a failure of cancel() to
  // propagate to the input. Cancellation propagation is fundamentally racy so this is fine.
  //

        as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can
        take arbitrary rank of dense and sparse tensor. For ragged tensor,
        though the input tensor remains to be rank 2, the activations now can be
        rank 2 or above by specifying the output shape in the feature config or
        via the build method.

*   Add